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Lab py functions sol #1

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robinroby Jun 18, 2025
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robinroby Jun 19, 2025
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Lab solved final
robinroby Jun 19, 2025
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243 changes: 241 additions & 2 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,12 @@
"# Lab | Functions"
]
},
{
"cell_type": "markdown",
"id": "d249c866",
"metadata": {},
"source": []
},
{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
Expand Down Expand Up @@ -43,11 +49,244 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "5bda5f73",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products: list):\n",
" '''Initialize the inventory'''\n",
" inventory = {}\n",
" for prod in products:\n",
" prod_quant= input(f\"Quantity of product {prod}\")\n",
" inventory[prod] = int(prod_quant)\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "d5f7ea53",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'asd': 23, 'af': 54, 'kj': 65, 'oa': 1, 'kw': 54}"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"# products = [\"A\", \"B\", \"C\", \"D\", \"E\"]\n",
"from pydantic_core import ErrorTypeInfo\n",
"\n",
"\n",
"products_input = input(\"Enter list of products separated by space\")\n",
"try:\n",
" products = products_input.split()\n",
"except:\n",
" raise ErrorTypeInfo(\"Invalid Input\")\n",
"\n",
"begin_inventory = initialize_inventory(products)\n",
"begin_inventory"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "2a3e6da5",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" '''Enter Product Name'''\n",
" customer_orders = set()\n",
" cust_prod = input(f\"Enter first product: \")\n",
" add_another_prod = True\n",
" # more_prod = [\"y\",\"yes\", \"true\",1, \"Y\", \"Yes\",\"True\"]\n",
"\n",
" while add_another_prod == True:\n",
" available_prod = False\n",
" while available_prod == False : \n",
" if cust_prod in products:\n",
" customer_orders.add(cust_prod)\n",
" available_prod = True\n",
" else:\n",
" print(f\"The product {cust_prod} is not available\")\n",
" cust_prod = input(\"Next Product: \") \n",
"\n",
" add_prod_input = input(\"Do you want to add another product? (yes/no)\")\n",
" if add_prod_input.lower() == \"yes\" or add_prod_input.lower() == \"true\" or add_prod_input.lower() == \"y\" or add_prod_input == \"1\":\n",
" # if add_another_prod in more_prod: \n",
" cust_prod = input(\"Next Product: \")\n",
" else:\n",
" add_another_prod = False\n",
"\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "0c1339e5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The product afa is not available\n"
]
}
],
"source": [
"customer_orders = get_customer_orders()\n",
"# customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "e742ce26",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders: set, inventory: list):\n",
" '''Update inventory dict based on customer orders'''\n",
" new_inventory = {}\n",
" for key, val in inventory.items():\n",
" if key in customer_orders: \n",
" new_inventory[key] = val -1\n",
" elif inventory[key] == 0:\n",
" new_inventory[key] = 0\n",
" else:\n",
" new_inventory[key] = val\n",
" \n",
" return new_inventory"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "074d728f",
"metadata": {},
"outputs": [],
"source": [
"new_inventory = update_inventory(customer_orders=customer_orders, inventory=begin_inventory)\n",
"# new_inventory"
]
},
{
"cell_type": "code",
"execution_count": 68,
"id": "44e51891",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders: set, products: list):\n",
" '''calculate order statistics (total products ordered and percentage of unique products ordered'''\n",
" # # percent_unique_ = 0\n",
" # total_prod_ordered = len(customer_orders)\n",
" # total_prods = len(set(products))\n",
" # percent_unique_= round((total_prod_ordered / total_prods) * 100, 1)\n",
" # return [total_prod_ordered, percent_unique]\n",
" total_prod_ordered = len(customer_orders)\n",
" total_prods = len(set(products))\n",
" percent_unique = (total_prod_ordered / total_prods) * 100\n",
" return [total_prod_ordered, percent_unique]\n"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "243778c7",
"metadata": {},
"outputs": [],
"source": [
"statistics = calculate_order_statistics (customer_orders=customer_orders, products = products )\n",
"# calculate_order_statistics (customer_orders=customer_orders, products = products )"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "f7f76077",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" print(f\"Total prod ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of unique products ordered {order_statistics[1]}\")"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "282504de",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total prod ordered: 2\n",
"Percentage of unique products ordered 40.0\n"
]
}
],
"source": [
"print_order_statistics(order_statistics = statistics)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "31910327",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory: dict):\n",
" print(f\"Updated inventory: {inventory}\")"
]
},
{
"cell_type": "code",
"execution_count": 74,
"id": "3b919dca",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated inventory: {'asd': 22, 'af': 54, 'kj': 64, 'oa': 1, 'kw': 54}\n"
]
}
],
"source": [
"print_updated_inventory(new_inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "41498dc3",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +300,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
Expand Down